{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](http://osloyi5le.bkt.clouddn.com/%E6%9C%BA%E5%99%A8%E5%AD%A6%E4%B9%A0%E5%B7%A5%E7%A8%8B%E5%B8%88banner.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 奥巴马的选民们是否有给特朗普投票？\n",
    "\n",
    "有些说法认为美国大选的结果是由支持朗普的民主党员人数上升造成的——这些人来自于中西部以及已陷入经济困境的老工业区。变化最大的是宾夕法尼亚州、密歇根州和威斯康星州，这3个州自1988以来首次出现了支持共和党的情况。同时，缅因州、新罕布什尔州、明尼苏达州等，包括一些中西部到东北部的州，都表现出对共和党总体态度的转变。\n",
    "\n",
    "但这种转变不一定意味着投票给奥巴马的选民们会转而给特朗普投票，或许他们只是没有参与到这一次总统选举的投票中，这导致了共和党获得了优势。\n",
    "\n",
    "这也就是我打算在这部分中要探讨的。在那些被共和党翻盘的选区，究竟是因为特朗普表现的比罗姆尼更好，所以获得了奥巴马的选民；还是因为克林顿表现得太差以至于不能动员她潜在的支持者呢？\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "_cell_guid": "6331950e-45f1-c2d1-3820-f2560ad1cf02"
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "US_County_Level_Presidential_Results_12-16.csv\n",
      "county_facts.csv\n",
      "county_facts_dictionary.csv\n",
      "presidential_polls.csv\n",
      "votes.csv\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# 案例所用的 python3 环境需要安装 numpy pandas matplotlib 等数据分析常用库\n",
    "# 可以在该网站查看详情 https://github.com/kaggle/docker-python \n",
    "# 使用 import 命令加载所需工具库\n",
    "\n",
    "import numpy as np # linear algebra (线性代数计算库)\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) (数据分析处理库，内含CSV文件交互命令，如 pd.read_csv 读取文件)\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore') \n",
    "import matplotlib.pyplot as plt\n",
    "plt.style.use('fivethirtyeight')\n",
    "# Input data files are available in the \"./input/\" directory.（确保数据文件于 \"../input/\" 目录下）\n",
    "# For example, running this (by clicking run or pressing Shift+Enter) will list the files in the input directory\n",
    "#（可以通过点击 run 或 按下 Shift+Enter 显示当前目录下文件来检查）\n",
    "\n",
    "from subprocess import check_output\n",
    "print(check_output([\"ls\", \"./input\"]).decode(\"utf8\"))\n",
    "\n",
    "# Any results you write to the current directory are saved as output.（当前目录下的任何改动都会被保存于该目录中）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Read Data（读取文件）\n",
    "votes = pd.read_csv('./input/votes.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "for i,row in enumerate(votes.iterrows()):\n",
    "    if row[1].votes_gop_2016>row[1].votes_dem_2016:\n",
    "        votes.loc[i,'winner_16'] = 'Trump'\n",
    "    else:\n",
    "        votes.loc[i,'winner_16'] = 'Clinton'  \n",
    "    if row[1].votes_gop_2012>row[1].votes_dem_2012:\n",
    "        votes.loc[i,'winner_12'] = 'Romney'\n",
    "    else:\n",
    "        votes.loc[i,'winner_12'] = 'Obama' "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 让我们先只考虑那些反水支持特朗普的县"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "_cell_guid": "5ba24bde-a5f5-d4f6-d31f-2ca89f1d31b5"
   },
   "outputs": [],
   "source": [
    "flipped = votes[votes.winner_16 == 'Trump']\n",
    "flipped = flipped[flipped.winner_12 == 'Obama']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "同时我们也要考虑人口增长，此处我们假定2010-2014的人口增长率和2012-2016人口增长率相似。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "_cell_guid": "cf1bae63-3d06-cf52-02de-30828951b5cd"
   },
   "outputs": [],
   "source": [
    "flipped['adj_2012_dem_votes'] = flipped.votes_dem_2012*(1+flipped.population_change/100)\n",
    "flipped['adj_2012_gop_votes'] = flipped.votes_gop_2012*(1+flipped.population_change/100)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "基于人口增长率预估投票数后，我们来对比一下特朗普与罗姆尼之间的实际票数，以及克林顿与奥巴马之间的实际票数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "_cell_guid": "78cd6cf9-69e7-6b24-0c9e-8d623dd5f07d"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10bec71d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bea8f50>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,8))\n",
    "plt.plot(flipped.adj_2012_dem_votes,flipped.votes_dem_2016,'o', alpha = 0.6)\n",
    "plt.plot(flipped.adj_2012_gop_votes,flipped.votes_gop_2016,'o',alpha = 0.6)\n",
    "plt.plot([0,350000],[0,350000])\n",
    "plt.xlim([0,75000])\n",
    "plt.ylim([0,75000])\n",
    "plt.xlabel('Adjusted number of votes - 2012')\n",
    "plt.ylabel('Number of votes - 2016')\n",
    "plt.legend(['Dem','Rep','2012 = 2016'], loc = 2, numpoints = 1)\n",
    "plt.title('Trumps and Clintons performance compered to Romney and Obama')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 让我们深入探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10f904090>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10f51e750>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (8,8))\n",
    "plt.plot(flipped.adj_2012_dem_votes,flipped.votes_dem_2016,'o', alpha = 0.6)\n",
    "plt.plot(flipped.adj_2012_gop_votes,flipped.votes_gop_2016,'o',alpha = 0.6)\n",
    "plt.plot([0,350000],[0,350000])\n",
    "plt.xlim([0,20000])\n",
    "plt.ylim([0,20000])\n",
    "plt.xlabel('Adjusted number of votes - 2012')\n",
    "plt.ylabel('Number of votes - 2016')\n",
    "plt.legend(['Dem','Rep','2012 = 2016'], loc = 2, numpoints = 1)\n",
    "plt.title('Trumps and Clintons performance compered to Romney and Obama')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 反水支持特朗普的县\n",
    "## (指2012年支持民主党但在2016年转而支持共和党的县\n",
    "\n",
    "每个反水支持特朗普的县会在图上显示两个点，蓝点代表特朗普在该县得到的票数与2012年奥巴马在该县得到的票数调整后之比，红点代表特朗普在该县得到的票数与罗姆尼在该县获得的票数调整后之比\n",
    "\n",
    "在上图中我们会发现，在那些反水支持特朗普的县中，奥巴马所获票数要比克林顿多，特朗普所获票数比罗姆尼多。这可能是因为特朗普将很多2012年未投票的选民转为共和党选民，而希拉里却没有拉拢到倾向于民主党的选民。但在很多县，似乎奥巴马的支持者都转而选择了特朗普。或者我们至少可以认为这些县之所以反水支持特朗普，是由于克林顿的支持率太低了。\n",
    "\n",
    "此处我们仅分析了有利于川普的县，因此分析可能会存在一定的偏差\n",
    "\n",
    "接下来让我们来看看这些反水支持特朗普的县在哪里，以及这些反水县是如何与那些工业衰落区域的特朗普的民主党拥护者相对应的。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = flipped['state_abbr'].value_counts().index.tolist()\n",
    "states = flipped['state_abbr'].value_counts()\n",
    "all_counties =  votes['state_abbr'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "_cell_guid": "f757c9d4-1d74-32e4-80f8-f6a5e64ec038"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10f97f150>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10bea8c90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (9,9))\n",
    "plt.bar(range(len(states)),states)\n",
    "plt.xticks(range(len(x)), x, size='small')\n",
    "plt.xlabel('State')\n",
    "plt.ylabel('Number of counties flipped')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "直接对比每个州中支持特朗普的县的数量会存在很大的偏差，因为上图会偏向于有更多县的州，因此观察每个州中支持特朗普的县所占百分比更为直观有效。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "_cell_guid": "36cf68ae-a33b-532f-2a4d-80b83d347194"
   },
   "outputs": [],
   "source": [
    "all_counties =  votes['state_abbr'].value_counts()\n",
    "new_dict = dict()\n",
    "for key in states.keys():\n",
    "    temp = np.true_divide(states[key],all_counties[key])\n",
    "    new_dict[key] = temp\n",
    " \n",
    "l = sorted(new_dict, key=new_dict.get)\n",
    "y = []\n",
    "for state in l:\n",
    "    y.append(new_dict[state])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "_cell_guid": "fbc19fc8-fb33-ab22-e893-d7cfc1099f21"
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.text.Text at 0x10ff9c890>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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FhosDDq6q/1j04zsl+av1KgwAYKtabZiNJ2U4eva2JE+emd6S7GqtfXS9CgMA2KpWDGittfOSpKru3FrbvTElAQBsbVMHqv16VT09ybcnOXT2B8ZBAwBYW1MD2p8l+bYkO5LsWr9yAACYGtBOTLK9tXbVehYDAMD0YTb+I8mt1rMQAAAG83RxnllVL8miLs7W2tlrXhUAwBY2NaA9a/z/NxdNb0m+ce3KAQBgUkBrrW1f70IAABhMPQcNAIANMukI2swtn26mtXbUmlYEALDFTT0H7UmLnt89yU8nOX1tywEAYOo5aOctnlZV5yZ5R5KXrHFNAABb2t6cg/bVJC4eAABYY1PPQXvRokmHJHl4kreveUUAAFvc1HPQ7rHo+ZeS/H6SP1/bcgAAmHoO2lPXuxAAAAZTj6Clqk5I8pQkRya5Msmft9bOWae6AAC2rEkXCVTVTyQ5I8mnkvxNkk8m+auqeto61gYAsCVNPYL2vCT/tbX2TwsTqup1Sd6Q5I/XozAAgK1q6jAbd0ry4UXTPprkjmtbDgAAUwPae5L8flUdkiRVdZskv5Pk79erMACArWpqQHtmkvslubqqdiW5anz+zPUqDABgq5o6zMYnkzygqrYlOSLJJ1prH1/XygAAtqipdxL4gST/3lq7NMnHx2nHJjmqtfa361gfAMCWM7WL8+VJvrho2hfH6QAArKGpAe2uYzfnrE8mOXyN6wEA2PKmjoP2b1X14Nba2TPTTkhy2dqXBACsZvfuw3PBBQfO1WbbtuuzfXtbp4pYS1MD2v9M8jdV9aok/5rknkmeOv4DADbYrl23yimnHDpXmx07rsn27detU0WspUldnK21M5P8QJLbJHnE+P+J43QAANbQ5Jult9YuSnLROtYCAECmXyQAAMAGEdAAADojoAEAdGbZgFZVn5h5/OqNKQcAgJWOoN2yqu40Pj55I4oBAGDlqzhPS3JFVX02ySFV9R9LzdRaO2pdKgMA2KKWDWittV+uqtOSHJ3krCRP3rCqAAC2sBXHQWutXZHhKNojW2vnbVBNAABb2tQ7Cby7qp5aVWdX1UfH/93mCQBgHUy6k0BV/VKSpyT5vSSXZ+j2fF5VHdFa+411rA8AYMuZequnn0hyQmvt8oUJVfXOJOcnEdAAANbQ1IFqb5PkM4umfS7JwfOsrKpOqqpLqurSqnr+Ej//kar6p/Hfe6rqvvMsHwBgM5ga0N6R5C+r6tiqOriq7pPkT5O8c+qKquqAJC9LcmKSb0nyxHE5s/4tyQNaa/dL8utJ/njq8gEANoupAe1ZSb6Y5P8muSbJB5N8Kcmz51jXcUl2ttYub61dm+T0JI+enaG1dmFr7erx6YVJjpxj+QAAm8LUqzj/s7X2lAxdmndPckhr7SmttavmWNeRSa6Yef7xrBzAfiLJ2+dYPgDApjD1IoEkSWvt+iSfXqdablBVD0ry1CTHrzTfzp0793gde9N2Ldr3UIP2W7t9DzVov3+376GG/bn97t2H56yzvjZXm7vd7as55JBPjc+OnnudX/7yl7Nz58L1fvu6/fzL2Nv2N1/Gvmt/zDHHrDjfXAFtL12ZZPa2UNvGaTdRVd+W5JVJTmqtfWGlBa62ccvZuXPnHrddi/Y91KD91m7fQw3a79/te6hhf29/1llfyymn3GWuNjt2XJP73e+2SZLLLpsv3CXJwQcffEPN+7r9nixjb9svXsa+br+SqeegrYWLk9yrqo6uqoOSPCHJm2dnqKqjkrwhyZNba/+6gbUBAHRjw46gtdauq6pnZbiv5wFJXtVa+0hVPWP4cXtlkhckuWOSV1RVJbm2tXbcRtUIANCDuQJaVd0uyS8kuW+GITF+q7X2iantW2vvSHLsommnzTx+WpKnzVMTAMBmM28X58szDLPxBxmG2fjrNa8IAGCLWzGgVdWpVXXozKSjMhw1OyvDQLKLB5oFAGAvrXYE7aIk51XV48fnb0jyj1X1F0k+kOFuAgAArKEVA1pr7bVJHpzk+PHm6O/MjVdfPqm19t/Xv0QAgK1l1YsExlsvPbuqvivJq5Ocl+RFrbWvrHdxAABb0WrnoB1RVX9QVW9JckqGe2demeS9VfWojSgQAGCrWe0ctNcn+UqSlyapJH/QWnt5kpOSnFJVO9a5PgCALWe1Ls5vSnJCa+3aqjovyYVJ0lrbleRJ4z0zAQBYQ6sFtD9L8q6qek+S70/ymtkfttbOWae6AAC2rBUDWmvtZ6rqe5JsT/La1tqHNqYsAICta8pVnBdnuNE5AAAbYN5bPQEAsM4ENACAzghoAACdEdAAADojoAEAdEZAAwDojIAGANAZAQ0AoDMCGgBAZwQ0AIDOCGgAAJ0R0AAAOiOgAQB0RkADAOiMgAYA0BkBDQCgMwIaAEBnBDQAgM4IaAAAnRHQAAA6I6ABAHRGQAMA6IyABgDQGQENAKAzAhoAQGcENACAzghoAACdEdAAADojoAEAdEZAAwDojIAGANAZAQ0AoDMCGgBAZwQ0AIDOCGgAAJ0R0AAAOiOgAQB0RkADAOiMgAYA0BkBDQCgM7fY1wUAwP5o9+7Dc8EFB87VZtu267N9e1unithMBDQA2AO7dt0qp5xy6Fxtduy4Jtu3X7dOFbGZ6OIEAOiMgAYA0BkBDQCgMwIaAEBnBDQAgM4IaAAAnRHQAAA6I6ABAHRGQAMA6IyABgDQGQENAKAzAhoAQGfcLB2ALWn37sNzwQUHztVm27brs317W6eK4EYCGgBb0q5dt8oppxw6V5sdO67J9u3XrVNFcCMBDYD9kiNgbGYCGgD7JUfA2MxcJAAA0BlH0ADYJ3RRwvIENAD2CV2UsDxdnAAAnRHQAAA6I6ABAHRGQAMA6IyABgDQGQENAKAzhtkAYI/MO46ZMcxgOgENgD0y7zhmxjCD6XRxAgB0RkADAOiMgAYA0BkBDQCgMwIaAEBnBDQAgM4IaAAAnRHQAAA6I6ABAHRGQAMA6IyABgDQmQ0NaFV1UlVdUlWXVtXzl/j5sVX191X1lap67kbWBgDQiw27WXpVHZDkZUkekuQTSS6uqjNba5fMzPa5JM9O8piNqgsAoDcbFtCSHJdkZ2vt8iSpqtOTPDrJDQGttfbZJJ+tqh/cwLoAtpzduw/PBRccOFebbduuz/btbZ0qAmZtZEA7MskVM88/niG0AbDBdu26VU455dC52uzYcU22b79unSoCZm1kQFtzO3fu3Cdt16J9DzVov7Xb91CD9vuy/dFzt/jyl7+cnTsv3+Nl7G37my9D+/27/fzL2Ez70DHHHLPifBsZ0K5MctTM823jtD222sYtZ+fOnXvcdi3a91CD9lu7fQ81aL9v21922dfmbnPwwQffZJ3zLmNv2y9ehvb7d/s9WcZm24dWspFXcV6c5F5VdXRVHZTkCUnevML8tTFlAQD0ZcOOoLXWrquqZyU5K0MwfFVr7SNV9Yzhx+2VVXW3JO9Pctsk11fVTyf55tbaNRtVJwDAvrah56C11t6R5NhF006bebwryT02siYAgN7s1xcJAGxVhsmAzU1AA9gPGSYDNjf34gQA6IyABgDQGV2cAPuAc8iAlQhoAPuAc8iAlejiBADojIAGANAZAQ0AoDMCGgBAZwQ0AIDOCGgAAJ0R0AAAOiOgAQB0RkADAOiMgAYA0BkBDQCgMwIaAEBnBDQAgM4IaAAAnbnFvi4AYF/YvfvwXHDBgXO12bbt+mzf3takPcBKBDRgS9q161Y55ZRD52qzY8c12b79ujVpD7ASXZwAAJ0R0AAAOqOLE9gvOQcM2MwENGCf2NuA5RwwYDMT0IB9QsACWJ5z0AAAOiOgAQB0RkADAOiMgAYA0BkBDQCgMwIaAEBnDLMB7BEDxQKsHwEN2CPGMQNYP7o4AQA64wgabFHzdlHqngTYOAIabFHzdlHqngTYOLo4AQA6I6ABAHRGFyfshwxxAbC5CWiwD+xtwDLEBcDmJqDBHhCwAFhPAhpbkoAFQM8ENLYkAQuAnrmKEwCgMwIaAEBndHGyXzLMBACbmYDGfsk5ZABsZro4AQA6I6ABAHRGFyf7hHPIAGB5Ahr7hHPIAGB5ujgBADojoAEAdEZAAwDojIAGANAZAQ0AoDOu4mSPGCYDANaPgMYeMUwGAKwfXZwAAJ0R0AAAOiOgAQB0RkADAOiMgAYA0BkBDQCgM4bZ2KKMYwYA/RLQtijjmAFAv3RxAgB0RkADAOiMgAYA0BkBDQCgMwIaAEBnBDQAgM4IaAAAnRHQAAA6I6ABAHRGQAMA6IyABgDQGffi3E+52TkAbF4C2n7Kzc4BYPPSxQkA0BlH0PaRebsodU8CwNYhoO0j83ZR6p4EgK1DFycAQGe25BG0vb0C0hWUAMB62pIBbW+vgHQFJQCwnnRxAgB0RkADAOiMgAYA0BkBDQCgMxsa0KrqpKq6pKourarnLzPPH1TVzqr6YFV9+0bWBwDQgw27irOqDkjysiQPSfKJJBdX1ZmttUtm5nlYknu21o6pqu9N8kdJ7r/cMo3EDwBsRhs5zMZxSXa21i5Pkqo6Pcmjk1wyM8+jk/xZkrTW3ldVh1XV3Vpru5Za4CMfaSR+AGDz2cguziOTXDHz/OPjtJXmuXKJeQAANrVqbWO6/arqcUlObK09fXz+pCTHtdaeMzPPjiQvbq39/fj8XUme11r7wMI8V199tX5KAGDTOOyww2rxtI08gnZlkqNmnm8bpy2e5x6rzAMAsKltZEC7OMm9quroqjooyROSvHnRPG9O8pQkqar7J7lqufPPAAA2qw27SKC1dl1VPSvJWRmC4ataax+pqmcMP26vbK29raoeXlUfS/KlJE9dvJylDgMCAGwmG3YOGgAA03R/J4GqunVVnTP++8+qOruqvlBVZ44/P6Cq/q6qDp+j/WVVdX1Vffc4zyOq6leXaX/0UvOOyztv/P/sqrrtKtvxnqr65fHxj46D9Z5dVedX1fZV2h5dVa8fHx9TVV+vqnfP/PyPquoHVlrGMjX85Gptxnm/b6z17HF7f2icfuL4O73VhPo/Pba/sKq+a5z+F1X1fyasf+E1eOD4/JZV9fmq+smq+p1xu86vql9aou35VXXXmedPrqpfqqrbVtXuqjp+D9f/haq6dtymT1bVRePjE1ZZzuur6k+q6m0z0y+eUMMJ47acU1Wvrarbj/vh/x2n/W1V3X7Cdiy8DmdX1YOq6ndWW/fY9v8Z13NuVb2rqr6zqk4ef/fnVNUrajh1YaV1L/U+ul1VvWZ8L11QVf9jmfaLX8dfHd8Hfz+zTa+Zc90L2/PuqtpRVfddof5Dq+rNY5u/q2HQ7UvHtmdX1euq6ug9WP+rZ+Z7+Wr7wirLOmSFdsvtPw+fmef1VXXUcstYVMPCfvzNq82/qO3CfrTwufnF8f+Fz+Z3LNHmj6vqe8bHP73ovfOh8f8X13BR2UrrXvwanlhVR1TVG8b94IIaLl5bbduX+iz6qSnv45llLOyzF42v4QNXei+ust7Lqurnxum3qapzVlnGivvOctuxyuvw4aq6aI7tX/g+m/Qdsso2fKyqfn1mnrcst1/O/O7fNb7mv1NVB4/78kUz++UxK6x7qddg4fv8nKp665RtmaL7gNZa+0pr7UGttQcluaS19uDW2h2SXFnDwLbPTHJma+1TU9snOSHJh5M8b3bWFcpYPO/C/CeNy35wa+2LyzWuqm1J/iPJA2YmnzrWclqSZ62w7hvWV1VHJPnLJN+c5JPjh939ktyltXbWSo2XqWFVVXXHJC9P8oSx3odmGGg4SU5O8uokj5iwqHPH9s9J8pvjG/LOSe5RVVNGHH5/kseOjx+a5NIkByY5qrV2fGvtARkGQl7sr5M8bub5yUnOSPKoJK9M8sMT1r3U+j+a5DnjNr09yY+N+8G5E5d3ZFV96/h4xcPYVXWHJC9J8phxPz4zyUvHdj8/Tjs3yYpfLqNzxzofnOT61dY9s/5XJHl8a+2EJD+U5FZJnpvkIeP6L0/yglUWtdT76KVJ3tlae2Br7fsz/J6Xsvh1/M6SXzIMAAAMLklEQVQk90nyxJlt+rE5192SPKy19pAkv5jkdSt8UTwlydvH9/v3JXlvhnNkHzL+Lv84yelzrj9JjqiqA6uqMgwpNKVLY7ltWdIq+8+kZSxjrvkX7UcPyjDu5fePv7+Fz/aTlmh6YZLvHR9/Z5Jrx+XdO8lHxun3T/K5qrrzCiUsfg0vTPIXSX6/tXbCuP9dPmFTlvosSub7fSx8Hv5QkheNbVdrv9R6W5Krkjyuqm45oY4p+85y7ae8DlMtrGOe75AFi7fhL5Lcv6q2V9UPJvlYa+3DK7Q/t7X20PGzbHeSF471/OjM9/nOZdou99pfNbZ7UGttnm1ZUfcBbQUvSPI/kzw5yf/eg/YfSXKLpZLyHPNO/f2dnOS1SS6pqmPHaQvn0t0+w/l2q7lThi+pp7fWLk3y/CQvTvJbSZY86jChhikenuRvWmufToZzCcdBhA/McFXub+bGHXaKD2a4UvekJG/JcE7iQye0uzw3XgX8Q0n+JsPv8Jiqus9Y29VLtHvDQn01HOU8fHzzPSbDG/M+E+tebv2Z+X+qluR3M7yGU9o/IsNr8Pkkaa29LsMX0gG56X60e8K69+QczkckeePMPvDFDHcEOa219tVxnlMz7GMrWfw+OjDJ/Vtrf7UwwwoBd6nX8WNzbMNy7+Ea1/vPSS5K8j3LtP9yhi+Bu47z32Rfa629K8lXxz+Epq6/JXl3ht/l8Un+bi+3ZTlT9p9kz/aNedxsP2qtfXBCuwtz4x1lDknyz+O23z/JhTXcEvAfMvzh9bilF5Fk0WuY5LYZTvO54ffeWrtgQj1LfRbMa+F3fYdM+/xfbr2V5OtJXpfxArtVrPg+WOLxrBVfhwnrvukK9/w7ZPE2XJ/k5zLkgOcn+ZU5lvXrGf5YT6Z9n6/Faz/ZfhvQWmufS3JNkvNba9fuySIyfEn+XFb/y2WpeSvJ2yYe0vyvGYLIGbnxiM1PV9X7k/xskindTN+Z5DMLH2ittSszHDX5l9baZRPaL1XDFEck+WSS1NAldk4N3csPTvKu8cP20AmHqBfe9CdkeIM9Lsnrx3pW+2Jf8N6qekCGI2+fyvDB9FtJXlHDPV4fubjB+Hs6qKrulOSRSd48fsEf2Fr7QpILqur79nD9e+MDSe5UQ5fSavvfEbnxqOWCzyS5S5IXV9U/Zzgy+qcT1vvA8VD82Rm+HKZYav03mTYGtVtmZYvfR3dO8tkpBSz1Ok6qfPl1L+WTSe6+zM/+PMNfy++soXvs3nO2X279b8zwQf/YDCF0ink+u5LV95+zx26xuY6u74Gl6pjiw0m+qarukuTTSd6X4UjO92Y4kvnDGQLKW5M8bIXl3OQ13It6khs/C+6SPfsseGBVXZAhlD8308PxUuttGXoDfiI3D92LrfRdtrAf3G6Ztqu9DvOozP8dsuw2tNb+McnVSU5vrf3n1CLG7LBwasaf1LRTlpZ6DW4/08X5qqnrX81+G9Cq6qQkH0ty/MxfRHMZB8S9Z4Y36rzzznZxLntIs6qOTHLfJG9K8ssZjki1DF2c353kHZl2ePddSS6rqhfOTPu3JKuGsxVqmOITGcajS2vtnLFr4ogMoerhVfX2JNuz8gdjMgaDDN25L8jwZfAnGT5YHljDvVpX0jJ8gf3vDMF04cjHGWNXwQMyHFFcyt9k+AI8OUMofGSSe9ZwDsVDMy0gLrn+vdCS/F6GgL6aT+bmd9S4a4Zw8/NJvi3DB+ZyR39mzXZxfmFirTfsA8vVNH64fm21Bc28j+6eof6VuqQWW/w6zmXC+33ZL+zW2tdba7/RWvuODH+hv3CJ2Vb8wl9m/Z9IcrcM9yD+t0zcr+b57Moq+89C10yS86asey8stR+tqg1Xsn0uyQ9mCAUXZQgF35Ghy+kRGV6PNyb59jHEL7Wcxa/hb2bP7lQz+1mw5PleE5w7dqk+PUOw2qv1tta+lOE74jFZ5bN9me+yh83sB0v1REx5Heb9TJz3O2SlbUgmfh/OquG82YVegB+bcMrScq/BbBfn/zdPDSvZ3wJaJTf8Un81yS+M/y/3xbxk+0VOzXBe1BSL553y+zs5yc+01h4+nl/xgSS3nvn5i5L8zITltNbazyS5X1X92MR6V6thyhvqbUkeU1V3T5KqWhia5ZhxZ3xYhqNzqx2VWwgGj0pyTJI/GOt5WIaQtmo3Z2vtX5NckKGrN0nuOJ4jlyT/meUDwhuS/GiSI8bu4ZOTPGhc/wlJvnWZdqutf6+01t6d4cPtjqvM+tYkP7TwxVNVT8jwF+t143Jahi+on5uw2sWv+ZR94K1JHlXjhTjjX5fvTvL0qjp4nOe/Z/oRoFOT/HSGI6DvraofuaGY8QTcZSx+HefZhtl1z76HFz5TvjXDa7HcCdJHzZzj85nF66yqhyQ5YDzSN8/6k+HIzl8tMe9qpn52rbj/zNiTPzrmaXOz/WjsnpyynPdl2Nb3tWFszHtm+LK8T4ZelIXPkv+RZbo5l3gNP5vkupq5UKiqvn/Khiz6LNjj39vY3fzdGY7G7O16X5rk2RPXv9K+s9L2LPk6tNa+MnG9s+b9Dllsnu/uWbPb9wsZgv3i6ctag9d+sv0toC38ZfCcJH/ZWvv8eO7HHarqO+Zof+OE1nZk4u9hZt6F5Sx0cZ69wrknj81Nk/Y5mXkztuHihn+vYWDeKX4kydPGL4SpR8GWquGuSX6qqs4a/524VMPxvJVnJnltDVeOvj3DG+OfZub5dJLtcxyiPjnDF/yCczPxzdla+5nW2icybPsXkryxqs4fl/cby7T5eIY30o6qOjTJ3RfOxxldMrWbc2b9N5k8pe0y874sw1+PK63z8xkCzRur6twMfyU/Z9E8709yt/Fo6TzrP3lmH1jyHJaxK/i/Jfmrcf1vzHA+z6lJ3jVO257hfI5VLXofPTvJiTVexZnhy2q5dje8jqts09R1J8lbx/36NzJcCLNcyL9vkvPHLqCXZPjD6rAaruJ8d5KnZbhgYd71p7X2xpnz8PZ0Wyo3D1wL8626/8y77pl5X1nDFcRn1TJX0s/UMbsfnZNhP1r4gltt3Rcm+YbW2kfH51/McN7Z4s+S87L8eWgLr+HZufE1fFKS59Z4FWduerebFS36LJrXbJv/k+Ree7ve8XN4uYtsFi/jZvvhMrUttvh1uGZmnfP8Hk7IcD7yQj3zfocstQ1T1/+A8X17boZz6V6YYT989cz3+bKfQ+O6F78Gh810cZ49cyBjrxgHDWA/V1XvH0+ZADaJ/e0IGgAzquq9GYbfATYRR9AAADrjCBoAQGcENACAzghoAACdEdAAADojoAEAdEZAAza1qjp+vH/mVVX12aq6oKq+q6p+dBycdOpyjq6q6yfclgxgr63JaLcAPRpvS7UjyTMy3L/zoCTfnxvvvzfPOEOVG0ftB1hX/hIENrN7Z7hX4Blt8NXx9nBfT/JHSf5LVX2xqj6fJFX18Kr6QFVdXVWXV9Wvzixr4WbiV1XVf1bV945tfryqPlxVn6uqt1fV5NsFASxHQAM2s0sz3BD7NVV1UlXdPklaa5dkuMfse1trt22tLdyw/pokT26tHZbkEUmeWVWPGn/2gPH/27XWbtdae19VPTrJz2e4v+VdMtxEeU9ufA5wEwIasGm11r6Y5Pgk1yd5ZZLPVNWbququy8x/fmvtQ+Pjf0lyepIHLppttovzGUle3Fq7tLV2fZLfSvLtVXWPNd4UYIsR0IBNrbX20dbaj7fWjkryLUmOTHLqUvNW1XFVdXZVfbqqrsoQwO68wuKPTvKSqvr82E36uQznqR25tlsBbDUCGrBltNYuTfKaDEFtqQsEXpvkTUmObK3dPslpufGI2VLz/0eSZ7TW7jj+u0Nr7dDW2oVrXz2wlQhowKZVVcdW1XOr6sjx+T2SPDHJe5PsSrKtqm450+TQJF9orV1bVccl+ZGZn30mQ1fpPWemnZbkF6vqm8flH1ZVJ6/fFgFbhWE2gM3si0m+N8lzq+qwJFdlGHbjeRmG2vhQkk9V1XWttbsm+akkv1dVL8tw1ebrkixcWPDlqvqNJH9XVbdIclJr7U1VdZskp49Xb16d5G+T/PWGbiWw6VRr8wwDBADAetPFCQDQGQENAKAzAhoAQGcENACAzghoAACdEdAAADojoAEAdEZAAwDojIAGANCZ/x/XL3EafCg+UwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x10fffb1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (9,9))\n",
    "plt.bar(range(len(y)),y)\n",
    "plt.xticks(range(len(l)), l, size='small')\n",
    "plt.xlabel('State')\n",
    "plt.ylabel('% of counties flipped')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 每个州中反水支持特朗普的县\n",
    "从上图可以看出，在缅因州、艾奥瓦州、威斯康星州、明尼苏达州和新罕布什尔州，超过20%（最多50%）的县反水支持特朗普。我们可以看到，纽约也有很大一部分县变成了红色。罗得岛和特拉华是有误导性的，因为这些州只有几个县。宾夕法尼亚州和密歇根州的受到的影响似乎较小，但值得一提的是，从一开始，这些州的绝大多数县在2012都支持罗姆尼，所以不太容易改变。\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "我忽略了那些转而支持克林顿的郡县。由于只有一小部分，所以不会对我们的分析有什么影响。"
   ]
  },
  {
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     "text": [
      "('Number of counties flipped by Clinton:', 20)\n",
      "('Number of counties flipped by Trump:', 218)\n",
      "('Total number of counties:', 3112)\n"
     ]
    }
   ],
   "source": [
    "clinton_flipped = votes[votes.winner_16 == 'Clinton']\n",
    "clinton_flipped = clinton_flipped[clinton_flipped.winner_12 == 'Romney']\n",
    "print('Number of counties flipped by Clinton:',len(clinton_flipped))\n",
    "print('Number of counties flipped by Trump:',len(flipped))\n",
    "print('Total number of counties:', len(votes))"
   ]
  },
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   "metadata": {},
   "source": [
    "## 总结 \n",
    "\n",
    "3112个县中有218个反水支持特朗普，但只有20个县反水支持克林顿。<br>\n",
    "1. 这些转向支持特朗普的县不是由于克林顿表现不如奥巴马而造成的。\n",
    "2. 民主党中白人工人阶级对特朗普的态度的转变所造成的影响最为明显。\n",
    "3. 我选择了县级，是因为和州相比，一个县的大众的态度更加统一。以宾夕法尼亚州为例，它地广并且民众态度多样，这就很难确定一次选举是否会因为一个实际选民的转变而改变，还是仅仅是由投票决定。\n"
   ]
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   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "> 翻译：黄殿钦，胡新华，丫头要美"
   ]
  }
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